TheHassanSaud/gemma3_12B_dpo_newdata_full_checkpoints

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gemma312Bdponewdatafull_checkpoints

This model is a fine-tuned version of ramzanniaz331/gemma3-12b-2048-ds2-sft-v3 on the dpodataset1, the dpodataset2, the dpodataset3, the dpodataset4, the dpodataset5 and the dpodataset6 datasets. It achieves the following results on the evaluation set:

• —Loss: 0.5667
• —Rewards/chosen: 6.1826
• —Rewards/rejected: -1.5186
• —Rewards/accuracies: 0.8021
• —Rewards/margins: 7.7012
• —Logps/chosen: -2668.7705
• —Logps/rejected: -3295.4177
• —Logits/chosen: 0.0061
• —Logits/rejected: 0.0057

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-06
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 0.05
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 5.0.0.dev0
• —Pytorch 2.9.1+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2